Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

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Titel: Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.
Autoren: Akbarein, Hesameddin1 (AUTHOR), Taaghi, Mohammad Hussein2 (AUTHOR), Mohebbi, Mahyar3 (AUTHOR), Soufizadeh, Parham2,4 (AUTHOR) soufizadehparham@ut.ac.ir
Quelle: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.
Publikationsart: Literature Review
Schlagworte: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research
Author-Supplied Keywords: artificial Intelligence
machine learning
veterinary sciences
Abstract: In recent years, artificial intelligence (AI) has brought about a significant transformation in healthcare, streamlining manual tasks and allowing professionals to focus on critical responsibilities while AI handles complex procedures. This shift is not limited to human healthcare; it extends to veterinary medicine as well, where AI's predictive analytics and diagnostic abilities are improving standards of animal care. Consequently, healthcare systems stand to gain notable advantages, such as enhanced accessibility, treatment efficacy, and optimized resource allocation, owing to the seamless integration of AI. This article presents a comprehensive review of the manifold applications of AI within the domain of veterinary science, categorizing them into four domains: clinical practice, biomedical research, public health, and administration. It also examines the primary machine learning algorithms used in relevant studies, highlighting emerging trends in the field. The research serves as a valuable resource for scholars, offering insights into current trends and serving as a starting point for those new to the field. [ABSTRACT FROM AUTHOR]
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Author Affiliations: 1Department of Food Hygiene & Quality Control, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
2Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
3Department of Surgery and Radiology, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
4Department of Research and Development, Intellia Agency, Tehran, Iran
Full Text Word Count: 18267
ISSN: 2053-1095
DOI: 10.1002/vms3.70315
Dokumentencode: 185452724
Datenbank: Veterinary Source
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Beschreibung
Abstract:In recent years, artificial intelligence (AI) has brought about a significant transformation in healthcare, streamlining manual tasks and allowing professionals to focus on critical responsibilities while AI handles complex procedures. This shift is not limited to human healthcare; it extends to veterinary medicine as well, where AI's predictive analytics and diagnostic abilities are improving standards of animal care. Consequently, healthcare systems stand to gain notable advantages, such as enhanced accessibility, treatment efficacy, and optimized resource allocation, owing to the seamless integration of AI. This article presents a comprehensive review of the manifold applications of AI within the domain of veterinary science, categorizing them into four domains: clinical practice, biomedical research, public health, and administration. It also examines the primary machine learning algorithms used in relevant studies, highlighting emerging trends in the field. The research serves as a valuable resource for scholars, offering insights into current trends and serving as a starting point for those new to the field. [ABSTRACT FROM AUTHOR]
ISSN:20531095
DOI:10.1002/vms3.70315